Abstract: Based on the introduction of an Orthogonal Frequency Division Multiplexing（OFDM） System and its basic receiving model，this paper achieves an application of Multiple Signal Classification（MUSIC） algorithm of space spectral estimation into the blind parameter estimation of this system.Experiments and simulations conducted using MATLAB are quoted to demonstrate that，even without any prior knowledge of signal-under-estimation，this algorithm is capable of effectively estimating the number of sub-carriers and IFFT points on emulated OFDM signal bearing an lower SNR and the actual 802.11a signal.

Key words: Orthogonal Frequency Division Multiplexing（OFDM）, number of sub-carriers, Multiple Signal Classification（MUSIC）, parameter estimation

摘要： 在介绍正交频分复用（OFDM）技术基本原理和基本接收模型的基础上，提出将空间谱估计中的多重信号分类（MUSIC）算法应用到OFDM系统参数盲估计中。经过MATLAB实验仿真表明，在没有信号先验知识的情况下，此算法对信噪比较低的仿真OFDM信号和实际802.11a信号均能有效估计出其子载波个数和发射端作傅立叶反变换的点数。

关键词: 正交频分复用, 子载波个数, 多重信号分类, 参数估计